Joint Waveform Design for Communication and Sensing with Adjustable PAPR
This paper proposes a dual-functional waveform design for integrated sensing and communication systems under adjustable peak-to-average-power-ratio constraints.
Towards Infrastructure-assisted WiFi Rate Adaptation for Converged Networks with Morpheus
The paper discusses a novel framework to integrate heterogeneous Radio Access Technologies (RATs) with the 5G O-RAN for coordination and joint optimization. As an example, it lays out the architecture of a WiFi Radio Intelligent Controller (RIC)...
Lossless Decoupling Networks for RF Self-Interference Cancellation in MIMO Full-Duplex Transceivers
The article presents a novel self-interference cancellation (SIC) technique using a lossless decoupling network in the RF domain for dedicated transmit-receive antennas. It includes antenna coupling analysis, SISO and 2×2 MIMO tests, and a...
Mobilizing the Terahertz Beam: D-Band Analog-Beamforming Front-End Prototyping and Long-Range 6G Trials
This article presents a novel D-band (150-175 GHz) wireless transceiver, achieving 48 dBm EIRP with eight RF beams via a Rotman lens, outperforming prior versions. Developed with InGaAs MMIC technology, it enabled 6G trials, including a 9-meter...
Correlation Properties in Channels With von Mises-Fisher Distribution of Scatterers
The von Mises-Fisher (vMF) scattering model is widely recognized for characterizing angular power distributions in MIMO systems and demonstrates versatility in modeling both communication and radar channels. This paper introduces exact and simple...
Towards Application Level Energy Monitoring for Green 6G Networks
We present a method to monitor network side energy consumption by an application running on the UE by fusing energy monitoring data with in band network telemetry.
Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks
We present a novel approach that combines the high rendering quality of NeRF-based 3D-aware GANs with the flexibility and computational advantages of 3DGS. By training a decoder that maps implicit NeRF representations to explicit 3D Gaussian...
Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond
In recent years, training data attribution (TDA) methods have emerged as a promising direction for the interpretability of neural networks. While research around TDA is thriving, limited effort has been dedicated to the evaluation of...
Experimental Characterization of a WR3-Coupled Photodiode Transmitter for High-Speed Terahertz Wireless Communication
We analyze the system performance of a large bandwidth photonic THz transmitter based on a WR3 coupled photodiode. Employing probabilistic constellation shaping (PCS) alongside a 64-QAM base constellation, we achieve net data rates of up to 76.8...
Multi-Resolution Generative Modeling of Human Motion from Limited Data
We present a generative model that learns to synthesize human motion from limited training sequences. Our framework provides conditional generation and blending across multiple temporal resolutions. moOurdel adeptly captures human motion patterns...